Automatic Text Summarization as a Text Extraction Strategy for Effective Automated Highlighting
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2018-02-26
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en
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Abstract
Automatic text highlighting is capable of becoming a new tool in textual information
processing. Preliminary research is done to examine the potential of a new application
for text summarization algorithms. A framework is built for parsing and
highlighting PDF files, to which extraction strategies can be applied. Also a small
dataset of highlighted documents is gathered to test the highlighting capabilities of
four text summarization algorithms on. Thereby, ROUGE-N scores are obtained, the
performance per task and the performance per algorithm are evaluated. In the end,
the algorithms perform surprisingly well and may encourage more investment in
automatic text highlighting.
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Faculteit der Sociale Wetenschappen